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WTW

Global risk management, insurance brokerage, consulting

AI Technical Lead

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLisbon, PortugalNo salary listed

About the Job

Requirements

  • A degree in Computer Science, Computer Engineering, Mathematics, or a related discipline, or equivalent practical experience.
  • At least 8 years of experience in software engineering, AI/ML engineering, low-code automation, or solution architecture, including at least 2 years of hands-on Generative AI delivery and team-level technical leadership.
  • Hands-on experience designing and delivering production Generative AI solutions, including large language models, retrieval-augmented generation, AI agents, and evaluation.
  • Strong programming skills in Python.
  • Experience with cloud platforms.
  • Experience with data engineering and integration, including APIs, event-driven architecture, message queues, databases, and data pipelines.
  • Experience defining architecture standards, AI governance, or engineering practices at team or department level.
  • Familiarity with secure AI design, Responsible AI practices, and AI risk management.
  • Excellent written and spoken English; professional maturity to present to senior stakeholders.

Responsibilities

  • Lead the technical design of AI initiatives end-to-end, from architecture and prototyping through production deployment.
  • Design scalable Generative AI and agentic solutions, including retrieval-augmented generation, AI agents, prompt engineering, and multimodal AI, using Microsoft Foundry, Azure, and other approved WTW platforms.
  • Determine when AI, low-code automation such as Power Platform, or conventional code is appropriate, and combine approaches where useful.
  • Design how AI solutions use enterprise data, including Microsoft Fabric and Fabric IQ, with appropriate security and access controls.
  • Create reusable AI blueprints, architecture patterns, components, and technical guidelines.
  • Define how the team designs, versions, tests, and shares agent skills across Copilot Studio and Microsoft Foundry, and develop them into a reusable library.
  • Set consistent practices for code quality, testing, evaluation, documentation, deployment, and monitoring.
  • Own platform foundations, including environments, CI/CD, security, and cost control.
  • Embed WTW security, Responsible AI, and governance requirements into architecture and development practices.
  • Review and challenge solution designs, code, and production readiness.
  • Provide technical input to feasibility assessments, prioritization, and portfolio planning with CoE leadership.
  • Communicate technical decisions, dependencies, trade-offs, and risks to technical and non-technical stakeholders.
  • Mentor engineers, including colleagues moving from automation into AI, and serve as the technical point of reference for complex delivery challenges.

Desired Qualifications

  • C#/.NET, TypeScript, or similar programming languages.
  • Microsoft Azure cloud platform experience.
  • Hands-on experience with Microsoft Foundry (formerly Azure AI Foundry / Azure AI Studio) and Azure OpenAI.
  • Experience with Microsoft Fabric and Fabric IQ.
  • Experience designing Agent Skills (SKILL.md) or similar reusable agent capabilities.
  • A background in low-code automation (Power Platform, Copilot Studio) or programming, and experience moving automation work into AI.
  • Knowledge of retirement, pensions, or financial services.

About the Company

WTW

Global risk management, insurance brokerage, consulting

Willis Towers Watson provides risk management, advisory, and brokerage services to organizations worldwide. Its two segments are Risk & Broking, which identifies, quantifies, and places insurance coverage, and Health, Wealth & Career, which offers consulting, technology, and administration for health benefits, retirement plans, and talent programs. The company blends advisory services, technology platforms, and brokerage capabilities to deliver integrated risk and people solutions rather than relying on a single service line. Its goal is to help clients turn risk into a path for growth by aligning risk management with health, retirement, and talent strategies to support organizational success.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1828

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